{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple neural network in plain Python\n",
    "\n",
    "\n",
    "This notebook implements a simple neural network architecture that can map $2$ dimensional input vectors onto binary output values. Our network will have $2$ input neurons, one hidden layer with $6$ hidden neurons and an output layer with $1$ output neuron. \n",
    "\n",
    "We will represent the architecture by means of the weight matrices between the layers. In our example, the weight matrix between the input and hidden layer will be denoted as $W_h$, the weight matrix between the hidden and output layer as $W_o$. In addition to the weights connecting the neurons, each hidden and output neuron will have a bias weight with a constant input of $+1$.\n",
    "\n",
    "Our training set consists of $m = 750$ examples. Therefore, we will have the following matrix shapes:\n",
    "- Training set shape: $X = (750, 2)$\n",
    "- Targets shape: $Y = (750, 1)$\n",
    "- $W_h$ shape: $(n_{features}, n_{hidden}) = (2, 6)$\n",
    "- $b_h$ shape (bias vector): $(1, n_{hidden}) = (1, 6)$ \n",
    "- $W_o$ shape: $(n_{hidden}, n_{outputs}) = (6, 1)$\n",
    "- $b_o$ shape (bias vector): $(1, n_{outputs}) = (1, 1)$ \n",
    "\n",
    "\n",
    "![caption](figures/neural_net.png)\n",
    "\n",
    "\n",
    "### Loss Function\n",
    "\n",
    "We will use the same loss function as in logistic regression:\n",
    "\n",
    "\\begin{equation}\n",
    "J(\\boldsymbol{w},b) = - \\frac{1}{m} \\sum_{i=1}^m \\Big[ y^{(i)} \\log(\\hat{y}^{(i)}) + (1 - y^{(i)}) \\big(1 - \\log(\\hat{y}^{(i)})\\big) \\Big] \n",
    "\\end{equation}\n",
    "\n",
    "For a classification task with more than two classes, we would use a generalization of this function, namely the categorical cross-entropy.\n",
    "\n",
    "### Training\n",
    "\n",
    "We will train our network with gradient descent and we will use backpropagation to compute the required partial derivatives. The training procedure has the following steps:  \n",
    "1. Initialize the parameters (i.e. the weights and biases)  \n",
    "2. Repeat until convergence:  \n",
    "2.1. Propagate the current input batch forward through the network. To do so, compute the activations and outputs of all hidden and output units.  \n",
    "2.2 Compute the partial derivatives of the loss function with respect to each parameter  \n",
    "2.3 Update the parameters  \n",
    "\n",
    "### Forward Pass\n",
    "\n",
    "We start by computing the activation and output of each unit in our network. To speed up the implementation, we won't do this for each input example individually but for all examples at once, using vectorization. We will use the following notation:\n",
    "\n",
    "- $\\boldsymbol{A}_h$: matrix with activations of all hidden units for all training examples\n",
    "- $\\boldsymbol{O}_h$: matrix with outputs of all hidden units for all training examples\n",
    "\n",
    "\n",
    "The hidden neurons will have $\\tanh$ as their activation function:\n",
    "\\begin{equation}\n",
    "\\tanh(x) = \\frac{sinh(x)}{cosh(x)} = \\frac{\\exp(x) - exp(-x)}{\\exp(x) + exp(-x)}\n",
    "\\end{equation}\n",
    "\\begin{equation}\n",
    "\\tanh'(x) = 1 - tanh^2(x)\n",
    "\\end{equation}\n",
    "\n",
    "The output neurons will have the $\\textit{sigmoid}$ activation function:\n",
    "\\begin{equation}\n",
    "\\sigma(x) = \\frac{1}{1 + \\exp(-x)}\n",
    "\\end{equation}\n",
    "\\begin{equation}\n",
    "\\sigma'(x) = 1 - (1 + \\sigma(x))\n",
    "\\end{equation}\n",
    "\n",
    "The activations and outputs can then be computed as follows ($\\cdot$ denotes the dot product):\n",
    "\n",
    "\\begin{equation}\n",
    "\\boldsymbol{A}_h = \\boldsymbol{X} \\cdot \\boldsymbol{W}_h + \\boldsymbol{b}_h, \\text{shape: } (750, 6)\n",
    "\\end{equation}\n",
    "\\begin{equation}\n",
    "\\boldsymbol{O}_h = \\sigma(\\boldsymbol{A}_h), \\text{shape: } (750, 6)\n",
    "\\end{equation}\n",
    "\n",
    "\\begin{equation}\n",
    "\\boldsymbol{A}_o = \\boldsymbol{O}_h \\cdot \\boldsymbol{W}_o + b_o, \\text{shape: } (750, 1)\n",
    "\\end{equation}\n",
    "\\begin{equation}\n",
    "\\boldsymbol{O}_o = \\sigma(\\boldsymbol{A}_o), \\text{shape: } (750, 1)\n",
    "\\end{equation}\n",
    "\n",
    "\n",
    "### Backward pass\n",
    "\n",
    "To compute the weight updates we need the partial derivatives of the loss function with respect to each unit. I won't give the derivation of these equations here, you will find plenty of good explanations on other websites (for example [here](https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/)).  \n",
    "\n",
    "For the output neurons, the gradients are given by (matrix notation):  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{A}_o} = d\\boldsymbol{A}_o = (\\boldsymbol{O}_o - \\boldsymbol{Y})$  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{W}_o} = \\frac{1}{m} (\\boldsymbol{O}_h^T \\cdot d\\boldsymbol{A}_o)$  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{b}_o} = \\frac{1}{m} \\sum d\\boldsymbol{A}_o$  \n",
    "\n",
    "For the weight matrix between input and hidden layer we have:  \n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{A}_h} = d\\boldsymbol{A}_h = (\\boldsymbol{W}_o^T \\cdot d\\boldsymbol{A}_o) * (1 - \\tanh^2 (\\boldsymbol{A}_h))$  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{W}_h} = \\frac{1}{m} (\\boldsymbol{X}^T \\cdot d\\boldsymbol{A}_h)$  \n",
    "\n",
    "$\\frac{\\partial L}{\\partial \\boldsymbol{b}_h} = \\frac{1}{m} \\sum d\\boldsymbol{A}_h$  \n",
    "\n",
    "### Weight Update\n",
    "\n",
    "$\\boldsymbol{W}_h = \\boldsymbol{W}_h - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{W}_h}$  \n",
    "\n",
    "$\\boldsymbol{b}_h = \\boldsymbol{b}_h - \\eta * \\frac{\\partial L}{\\partial \\boldsymbol{b}_h} $  \n",
    "\n",
    "$\\boldsymbol{W}_o = \\boldsymbol{W}_o - \\eta *   \\frac{\\partial L}{\\partial \\boldsymbol{W}_o} $  \n",
    "\n",
    "$\\boldsymbol{b}_o = \\boldsymbol{b}_o - \\eta *  \\frac{\\partial L}{\\partial \\boldsymbol{b}_o} $  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:22:31.321874Z",
     "start_time": "2018-03-11T14:22:31.312073Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import make_circles\n",
    "from sklearn.model_selection import train_test_split\n",
    "np.random.seed(123)\n",
    "\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:22:32.591001Z",
     "start_time": "2018-03-11T14:22:32.237574Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X, y = make_circles(n_samples=1000, factor=0.5, noise=.1)\n",
    "\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "plt.scatter(X[:,0], X[:,1], c=y)\n",
    "plt.xlim([-1.5, 1.5])\n",
    "plt.ylim([-1.5, 1.5])\n",
    "plt.title(\"Dataset\")\n",
    "plt.xlabel(\"First feature\")\n",
    "plt.ylabel(\"Second feature\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:22:35.570737Z",
     "start_time": "2018-03-11T14:22:35.559629Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape X_train: (750, 2)\n",
      "Shape y_train: (750, 1)\n",
      "Shape X_test: (250, 2)\n",
      "Shape y_test: (250, 1)\n"
     ]
    }
   ],
   "source": [
    "# reshape targets to get column vector with shape (n_samples, 1)\n",
    "y_true = y[:, np.newaxis]\n",
    "# Split the data into a training and test set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_true)\n",
    "\n",
    "print(f'Shape X_train: {X_train.shape}')\n",
    "print(f'Shape y_train: {y_train.shape}')\n",
    "print(f'Shape X_test: {X_test.shape}')\n",
    "print(f'Shape y_test: {y_test.shape}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Neural Network Class\n",
    "\n",
    "Some parts of this implementation are inspired by the exercises of Andrew Ng's [coursera course](https://www.coursera.org/learn/neural-networks-deep-learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:23:14.802406Z",
     "start_time": "2018-03-11T14:23:14.494249Z"
    }
   },
   "outputs": [],
   "source": [
    "class NeuralNet():\n",
    "    \n",
    "    def __init__(self, n_inputs, n_outputs, n_hidden):\n",
    "        self.n_inputs = n_inputs\n",
    "        self.n_outputs = n_outputs\n",
    "        self.hidden = n_hidden\n",
    "\n",
    "        # Initialize weight matrices and bias vectors\n",
    "        self.W_h = np.random.randn(self.n_inputs, self.hidden)\n",
    "        self.b_h = np.zeros((1, self.hidden))\n",
    "        self.W_o = np.random.randn(self.hidden, self.n_outputs)\n",
    "        self.b_o = np.zeros((1, self.n_outputs))\n",
    "\n",
    "    def sigmoid(self, a):\n",
    "        return 1 / (1 + np.exp(-a))\n",
    "\n",
    "    def forward_pass(self, X):\n",
    "        \"\"\"\n",
    "        Propagates the given input X forward through the net.\n",
    "\n",
    "        Returns:\n",
    "            A_h: matrix with activations of all hidden neurons for all input examples\n",
    "            O_h: matrix with outputs of all hidden neurons for all input examples\n",
    "            A_o: matrix with activations of all output neurons for all input examples\n",
    "            O_o: matrix with outputs of all output neurons for all input examples\n",
    "        \"\"\"\n",
    "        # Compute activations and outputs of hidden units\n",
    "        A_h = np.dot(X, self.W_h) + self.b_h\n",
    "        O_h = np.tanh(A_h)\n",
    "\n",
    "        # Compute activations and outputs of output units\n",
    "        A_o = np.dot(O_h, self.W_o) + self.b_o\n",
    "        O_o = self.sigmoid(A_o)\n",
    "\n",
    "        outputs = {\n",
    "                \"A_h\": A_h,\n",
    "                \"A_o\": A_o,\n",
    "                \"O_h\": O_h,\n",
    "                \"O_o\": O_o,\n",
    "                }\n",
    "\n",
    "        return outputs\n",
    "\n",
    "\n",
    "    def cost(self, y_true, y_predict, n_samples):\n",
    "        \"\"\"\n",
    "        Computes and returns the cost over all examples\n",
    "        \"\"\"\n",
    "        # same cost function as in logistic regression\n",
    "        cost = (- 1 / n_samples) * np.sum(y_true * np.log(y_predict) + (1 - y_true) * (np.log(1 - y_predict)))\n",
    "        cost = np.squeeze(cost)\n",
    "        assert isinstance(cost, float)\n",
    "\n",
    "        return cost\n",
    "\n",
    "    def backward_pass(self,  X, Y, n_samples, outputs):\n",
    "        \"\"\"\n",
    "        Propagates the errors backward through the net.\n",
    "\n",
    "        Returns:\n",
    "            dW_h: partial derivatives of loss function w.r.t hidden weights\n",
    "            db_h: partial derivatives of loss function w.r.t hidden bias\n",
    "            dW_o: partial derivatives of loss function w.r.t output weights\n",
    "            db_o: partial derivatives of loss function w.r.t output bias\n",
    "        \"\"\"\n",
    "\n",
    "        dA_o = (outputs[\"O_o\"] - Y)\n",
    "        dW_o = (1 / n_samples) * np.dot(outputs[\"O_h\"].T, dA_o)\n",
    "        db_o = (1 / n_samples) * np.sum(dA_o)\n",
    "\n",
    "        dA_h = (np.dot(dA_o, self.W_o.T)) * (1 - np.power(outputs[\"O_h\"], 2))\n",
    "        dW_h = (1 / n_samples) * np.dot(X.T, dA_h)\n",
    "        db_h = (1 / n_samples) * np.sum(dA_h)\n",
    "\n",
    "        gradients = {\n",
    "                \"dW_o\": dW_o,\n",
    "                \"db_o\": db_o,\n",
    "                \"dW_h\": dW_h,\n",
    "                \"db_h\": db_h,\n",
    "                }\n",
    "\n",
    "        return gradients\n",
    "\n",
    "    def update_weights(self, gradients, eta):\n",
    "        \"\"\"\n",
    "        Updates the model parameters using a fixed learning rate\n",
    "        \"\"\"\n",
    "        self.W_o = self.W_o - eta * gradients[\"dW_o\"]\n",
    "        self.W_h = self.W_h - eta * gradients[\"dW_h\"]\n",
    "        self.b_o = self.b_o - eta * gradients[\"db_o\"]\n",
    "        self.b_h = self.b_h - eta * gradients[\"db_h\"]\n",
    "\n",
    "    def train(self, X, y, n_iters=500, eta=0.3):\n",
    "        \"\"\"\n",
    "        Trains the neural net on the given input data\n",
    "        \"\"\"\n",
    "        n_samples, _ = X.shape\n",
    "\n",
    "        for i in range(n_iters):\n",
    "            outputs = self.forward_pass(X)\n",
    "            cost = self.cost(y, outputs[\"O_o\"], n_samples=n_samples)\n",
    "            gradients = self.backward_pass(X, y, n_samples, outputs)\n",
    "\n",
    "            if i % 100 == 0:\n",
    "                print(f'Cost at iteration {i}: {np.round(cost, 4)}')\n",
    "\n",
    "            self.update_weights(gradients, eta)\n",
    "\n",
    "\n",
    "    def predict(self, X):\n",
    "        \"\"\"\n",
    "        Computes and returns network predictions for given dataset\n",
    "        \"\"\"\n",
    "        outputs = self.forward_pass(X)\n",
    "        y_pred = [1 if elem >= 0.5 else 0 for elem in outputs[\"O_o\"]]\n",
    "\n",
    "        return np.array(y_pred)[:, np.newaxis]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initializing and training the neural network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:23:21.234143Z",
     "start_time": "2018-03-11T14:23:20.414484Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of weight matrices and bias vectors:\n",
      "W_h shape: (2, 6)\n",
      "b_h shape: (1, 6)\n",
      "W_o shape: (6, 1)\n",
      "b_o shape: (1, 1)\n",
      "\n",
      "Training:\n",
      "Cost at iteration 0: 1.0872\n",
      "Cost at iteration 100: 0.2723\n",
      "Cost at iteration 200: 0.1712\n",
      "Cost at iteration 300: 0.1386\n",
      "Cost at iteration 400: 0.1208\n",
      "Cost at iteration 500: 0.1084\n",
      "Cost at iteration 600: 0.0986\n",
      "Cost at iteration 700: 0.0907\n",
      "Cost at iteration 800: 0.0841\n",
      "Cost at iteration 900: 0.0785\n",
      "Cost at iteration 1000: 0.0739\n",
      "Cost at iteration 1100: 0.0699\n",
      "Cost at iteration 1200: 0.0665\n",
      "Cost at iteration 1300: 0.0635\n",
      "Cost at iteration 1400: 0.061\n",
      "Cost at iteration 1500: 0.0587\n",
      "Cost at iteration 1600: 0.0566\n",
      "Cost at iteration 1700: 0.0547\n",
      "Cost at iteration 1800: 0.0531\n",
      "Cost at iteration 1900: 0.0515\n"
     ]
    }
   ],
   "source": [
    "nn = NeuralNet(n_inputs=2, n_hidden=6, n_outputs=1)\n",
    "print(\"Shape of weight matrices and bias vectors:\")\n",
    "print(f'W_h shape: {nn.W_h.shape}')\n",
    "print(f'b_h shape: {nn.b_h.shape}')\n",
    "print(f'W_o shape: {nn.W_o.shape}')\n",
    "print(f'b_o shape: {nn.b_o.shape}')\n",
    "print()\n",
    "\n",
    "print(\"Training:\")\n",
    "nn.train(X_train, y_train, n_iters=2000, eta=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing the neural network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:24:18.161094Z",
     "start_time": "2018-03-11T14:24:18.153370Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification accuracy on test set: 98.4 %\n"
     ]
    }
   ],
   "source": [
    "n_test_samples, _ = X_test.shape\n",
    "y_predict = nn.predict(X_test)\n",
    "print(f\"Classification accuracy on test set: {(np.sum(y_predict == y_test)/n_test_samples)*100} %\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the decision boundary\n",
    "\n",
    "In the lowermost plot we can see which parts of the input space are classified as positive and which are classified as negative by the trained network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:24:26.206360Z",
     "start_time": "2018-03-11T14:24:26.035186Z"
    }
   },
   "outputs": [],
   "source": [
    "X_temp, y_temp = make_circles(n_samples=60000, noise=.5)\n",
    "y_predict_temp = nn.predict(X_temp)\n",
    "y_predict_temp = np.ravel(y_predict_temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-03-11T14:24:31.685165Z",
     "start_time": "2018-03-11T14:24:27.151239Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Decision boundary')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,12))\n",
    "ax = fig.add_subplot(2,1,1)\n",
    "plt.scatter(X[:,0], X[:,1], c=y)\n",
    "plt.xlim([-1.5, 1.5])\n",
    "plt.ylim([-1.5, 1.5])\n",
    "plt.xlabel(\"First feature\")\n",
    "plt.ylabel(\"Second feature\")\n",
    "plt.title(\"Training and test set\")\n",
    "\n",
    "ax = fig.add_subplot(2,1,2)\n",
    "plt.scatter(X_temp[:,0], X_temp[:,1], c=y_predict_temp)\n",
    "plt.xlim([-1.5, 1.5])\n",
    "plt.ylim([-1.5, 1.5])\n",
    "plt.xlabel(\"First feature\")\n",
    "plt.ylabel(\"Second feature\")\n",
    "plt.title(\"Decision boundary\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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